PROTOCOL FOR THE USE OF EXTRACTIVE FOURIER TRANSFORM INFRARED
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PROTOCOL FOR THE USE OF EXTRACTIVE FOURIER TRANSFORM
INFRARED (FTIR) SPECTROMETRY FOR THE ANALYSES OF GASEOUS
EMISSIONS FROM STATIONARY SOURCES
1.0 INTRODUCTION
The purpose of this addendum is to set general
guidelines for the use of modern FTIR spectroscopic methods
for the analysis of gas samples extracted from the effluent
of stationary emission sources. This addendum outlines
techniques for developing and evaluating such methods and
sets basic requirements for reporting and quality assurance
procedures.
1.1 NOMENCLATURE
1.1.1 Appendix A to this addendum lists definitions of
the symbols and terms used in this Protocol, many of which
have been taken directly from American Society for Testing
and Materials (ASTM) publication E 131-90a, entitled
"Terminology Relating to Molecular Spectroscopy."
1.1.2 Except in the case of background spectra or
where otherwise noted, the term "spectrum" refers to a
double-beam spectrum in units of absorbance vs. wavenumber
-1
(cm ).
1.1.3 The term "Study" in this addendum refers to a
publication that has been subjected to EPA- or peer-review.
2.0 APPLICABILITY AND ANALYTICAL PRINCIPLE
2.1 Applicability. This Protocol applies to the
determination of compound-specific concentrations in single-
and multiple-component gas phase samples using double-beam
absorption spectroscopy in the mid-infrared band. It does
not specifically address other FTIR applications, such as
single-beam spectroscopy, analysis of open-path (non-
enclosed) samples, and continuous measurement techniques.
If multiple spectrometers, absorption cells, or instrumental
linewidths are used in such analyses, each distinct
operational configuration of the system must be evaluated
separately according to this Protocol.
2.2 Analytical Principle.
2.2.1 In the mid-infrared band, most molecules exhibit
characteristic gas phase absorption spectra that may be
recorded by FTIR systems. Such systems consist of a source
of mid-infrared radiation, an interferometer, an enclosed
sample cell of known absorption pathlength, an infrared
detector, optical elements for the transfer of infrared
radiation between components, and gas flow control and
measurement components. Adjunct and integral computer
systems are used for controlling the instrument, processing
the signal, and for performing both Fourier transforms and
quantitative analyses of spectral data.
2.2.2 The absorption spectra of pure gases and of
mixtures of gases are described by a linear absorbance
theory referred to as Beer's Law. Using this law, modern
FTIR systems use computerized analytical programs to
quantify compounds by comparing the absorption spectra of
known (reference) gas samples to the absorption spectrum of
the sample gas. Some standard mathematical techniques used
for comparisons are classical least squares, inverse least
squares, cross-correlation, factor analysis, and partial
least squares. Reference A describes several of these
techniques, as well as additional techniques, such as
differentiation methods, linear baseline corrections, and
non-linear absorbance corrections.
3.0 GENERAL PRINCIPLES OF PROTOCOL REQUIREMENTS
The characteristics that distinguish FTIR systems from
gas analyzers used in instrumental gas analysis methods
(e.g., Methods 6C and 7E of appendix A to part 60 of this
chapter) are: (1) Computers are necessary to obtain and
analyze data; (2) chemical concentrations can be quantified
using previously recorded infrared reference spectra; and
(3) analytical assumptions and results, including possible
effects of interfering compounds, can be evaluated after the
quantitative analysis. The following general principles and
requirements of this Protocol are based on these
characteristics.
3.1 Verifiability and Reproducibility of Results.
Store all data and document data analysis techniques
sufficient to allow an independent agent to reproduce the
analytical results from the raw interferometric data.
3.2 Transfer of Reference Spectra. To determine
whether reference spectra recorded under one set of
conditions (e.g., optical bench, instrumental linewidth,
absorption pathlength, detector performance, pressure, and
temperature) can be used to analyze sample spectra taken
under a different set of conditions, quantitatively compare
"calibration transfer standards" (CTS) and reference spectra
as described in this Protocol. (Note: The CTS may, but need
not, include analytes of interest). To effect this, record
the absorption spectra of the CTS (a) immediately before and
immediately after recording reference spectra and (b)
immediately after recording sample spectra.
3.3 Evaluation of FTIR Analyses. The applicability,
accuracy, and precision of FTIR measurements are influenced
by a number of interrelated factors, which may be divided
into two classes:
3.3.1 Sample-Independent Factors. Examples are system
configuration and performance (e.g., detector sensitivity
and infrared source output), quality and applicability of
reference absorption spectra, and type of mathematical
analyses of the spectra. These factors define the
fundamental limitations of FTIR measurements for a given
system configuration. These limitations may be estimated
from evaluations of the system before samples are available.
For example, the detection limit for the absorbing compound
under a given set of conditions may be estimated from the
system noise level and the strength of a particular
absorption band. Similarly, the accuracy of measurements
may be estimated from the analysis of the reference spectra.
3.3.2 Sample-Dependent Factors. Examples are spectral
interferants (e.g., water vapor and CO2) or the overlap of
spectral features of different compounds and contamination
deposits on reflective surfaces or transmitting windows. To
maximize the effectiveness of the mathematical techniques
used in spectral analysis, identification of interferants (a
standard initial step) and analysis of samples (includes
effect of other analytical errors) are necessary. Thus, the
Protocol requires post-analysis calculation of measurement
concentration uncertainties for the detection of these
potential sources of measurement error.
4.0 PRE-TEST PREPARATIONS AND EVALUATIONS
Before testing, demonstrate the suitability of FTIR
spectrometry for the desired application according to the
procedures of this section.
4.1 Identify Test Requirements. Identify and record
the test requirements described in sections 4.1.1 through
4.1.4 of this addendum. These values set the desired or
required goals of the proposed analysis; the description of
methods for determining whether these goals are actually met
during the analysis comprises the majority of this Protocol.
4.1.1 Analytes (specific chemical species) of
interest. Label the analytes from i = 1 to I.
4.1.2 Analytical uncertainty limit (AUi). The AUi is
the maximum permissible fractional uncertainty of analysis
for the ith analyte concentration, expressed as a fraction of
the analyte concentration in the sample.
4.1.3 Required detection limit for each analyte (DLi,
ppm). The detection limit is the lowest concentration of an
analyte for which its overall fractional uncertainty (OFUi)
is required to be less than its analytical uncertainty limit
(AUi).
4.1.4 Maximum expected concentration of each analyte
(CMAXi, ppm).
4.2 Identify Potential Interferants. Considering the
chemistry of the process or results of previous studies,
identify potential interferants, i.e., the major effluent
constituents and any relatively minor effluent constituents
that possess either strong absorption characteristics or
strong structural similarities to any analyte of interest.
Label them 1 through Nj, where the subscript "j" pertains to
potential interferants. Estimate the concentrations of
these compounds in the effluent (CPOTj, ppm).
4.3 Select and Evaluate the Sampling System.
Considering the source, e.g., temperature and pressure
profiles, moisture content, analyte characteristics, and
particulate concentration), select the equipment for
extracting gas samples. Recommended are a particulate
filter, heating system to maintain sample temperature above
the dew point for all sample constituents at all points
within the sampling system (including the filter), and
sample conditioning system (e.g., coolers, water-permeable
membranes that remove water or other compounds from the
sample, and dilution devices) to remove spectral
interferants or to protect the sampling and analytical
components. Determine the minimum absolute sample system
pressure (Pmin, mmHg) and the infrared absorption cell volume
(VSS, liter). Select the techniques and/or equipment for the
measurement of sample pressures and temperatures.
4.4 Select Spectroscopic System. Select a
spectroscopic configuration for the application.
Approximate the absorption pathlength (LS', meter), sample
pressure (PS', kPa), absolute sample temperature TS', and
signal integration period (tSS, seconds) for the analysis.
Specify the nominal minimum instrumental linewidth (MIL) of
the system. Verify that the fractional error at the
approximate values PS' and TS' is less than one half the
smallest value AUi (see section 4.1.2 of this addendum).
4.5 Select Calibration Transfer Standards (CTS's).
Select CTS's that meet the criteria listed in sections
4.5.1, 4.5.2, and 4.5.3 of this addendum.
Note: It may be necessary to choose preliminary
analytical regions (see section 4.7 of this addendum),
identify the minimum analyte linewidths, or estimate
the system noise level (see section 4.12 of this
addendum) before selecting the CTS. More than one
compound may be needed to meet the criteria; if so,
obtain separate cylinders for each compound.
4.5.1 The central wavenumber position of each
analytical region shall lie within 25 percent of the
wavenumber position of at least one CTS absorption band.
4.5.2 The absorption bands in section 4.5.1 of this
addendum shall exhibit peak absorbances greater than ten
times the value RMSEST (see section 4.12 of this addendum)
but less than 1.5 absorbance units.
4.5.3 At least one absorption CTS band within the
operating range of the FTIR instrument shall have an
instrument-independent linewidth no greater than the
narrowest analyte absorption band. Perform and document
measurements or cite Studies to determine analyte and CTS
compound linewidths.
4.5.4 For each analytical region, specify the upper
and lower wavenumber positions (FFUm and FFLm, respectively)
that bracket the CTS absorption band or bands for the
associated analytical region. Specify the wavenumber range,
FNU to FNL, containing the absorption band that meets the
criterion of section 4.5.3 of this addendum.
4.5.5 Associate, whenever possible, a single set of
CTS gas cylinders with a set of reference spectra.
Replacement CTS gas cylinders shall contain the same
compounds at concentrations within 5 percent of that of the
original CTS cylinders; the entire absorption spectra (not
individual spectral segments) of the replacement gas shall
be scaled by a factor between 0.95 and 1.05 to match the
original CTS spectra.
4.6 Prepare Reference Spectra.
Note: Reference spectra are available in a permanent
soft copy from the EPA spectral library on the EMTIC
(Emission Measurement Technical Information Center)
computer bulletin board; they may be used if
applicable.
4.6.1 Select the reference absorption pathlength (LR)
of the cell.
4.6.2 Obtain or prepare a set of chemical standards
for each analyte, potential and known spectral interferants,
and CTS. Select the concentrations of the chemical
standards to correspond to the top of the desired range.
4.6.2.1 Commercially-Prepared Chemical Standards.
Chemical standards for many compounds may be obtained from
independent sources, such as a specialty gas manufacturer,
chemical company, or commercial laboratory. These standards
(accurate to within ±2 percent) shall be prepared according
to EPA Traceability Protocol (see Reference D) or shall be
traceable to NIST standards. Obtain from the supplier an
estimate of the stability of the analyte concentration.
Obtain and follow all of the supplier's recommendations for
recertifying the analyte concentration.
4.6.2.2 Self-Prepared Chemical Standards. Chemical
standards may be prepared by diluting certified commercially
prepared chemical gases or pure analytes with ultra-pure
carrier (UPC) grade nitrogen according to the barometric and
volumetric techniques generally described in Reference A,
section A4.6.
4.6.3 Record a set of the absorption spectra of the
CTS {R1}, then a set of the reference spectra at two or more
concentrations in duplicate over the desired range (the top
of the range must be less than 10 times that of the bottom),
followed by a second set of CTS spectra {R2}. (If self-
prepared standards are used, see section 4.6.5 of this
addendum before disposing of any of the standards.) The
maximum accepted standard concentration-pathlength product
(ASCPP) for each compound shall be higher than the maximum
estimated concentration-pathlength products for both
analytes and known interferants in the effluent gas. For
each analyte, the minimum ASCPP shall be no greater than ten
times the concentration-pathlength product of that analyte
at its required detection limit.
4.6.4 Permanently store the background and
interferograms in digitized form. Document details of the
mathematical process for generating the spectra from these
interferograms. Record the sample pressure (PR), sample
temperature (TR), reference absorption pathlength (LR), and
interferogram signal integration period (tSR). Signal
integration periods for the background interferograms shall
be ≥tSR. Values of PR, LR, and tSR shall not deviate by more
than ±1 percent from the time of recording {R1} to that of
recording {R2}.
4.6.5 If self-prepared chemical standards are employed
and spectra of only two concentrations are recorded for one
or more compounds, verify the accuracy of the dilution
technique by analyzing the prepared standards for those
compounds with a secondary (non-FTIR) technique in
accordance with sections 4.6.5.1 through 4.6.5.4 of this
addendum.
4.6.5.1 Record the response of the secondary technique
to each of the four standards prepared.
4.6.5.2 Perform a linear regression of the response
values (dependant variable) versus the accepted standard
concentration (ASC) values (independent variable), with the
regression constrained to pass through the zero-response,
zero ASC point.
4.6.5.3 Calculate the average fractional difference
between the actual response values and the regression-
predicted values (those calculated from the regression line
using the four ASC values as the independent variable).
4.6.5.4 If the average fractional difference value
calculated in section 4.6.5.3 of this addendum is larger for
any compound than the corresponding AUi, the dilution
technique is not sufficiently accurate and the reference
spectra prepared are not valid for the analysis.
4.7 Select Analytical Regions. Using the general
considerations in section 7 of Reference A and the spectral
characteristics of the analytes and interferants, select the
analytical regions for the application. Label them m = 1 to
M. Specify the lower, center and upper wavenumber positions
of each analytical region (FLm, FCm, and FUm, respectively).
Specify the analytes and interferants which exhibit
absorption in each region.
4.8 Determine Fractional Reproducibility
Uncertainties. Using appendix E of this addendum, calculate
the fractional reproducibility uncertainty for each analyte
(FRUi) from a comparison of {R1} and {R2}. If FRUi > AUi for
any analyte, the reference spectra generated in accordance
with section 4.6 of this addendum are not valid for the
application.
4.9 Identify Known Interferants. Using appendix B of
this addendum, determine which potential interferants affect
the analyte concentration determinations. Relabel these
potential interferant as "known" interferants, and designate
these compounds from k = 1 to K. Appendix B to this
addendum also provides criteria for determining whether the
selected analytical regions are suitable.
4.10 Prepare Computerized Analytical Programs.
4.10.1 Choose or devise mathematical techniques (e.g,
classical least squares, inverse least squares, cross-
correlation, and factor analysis) based on equation 4 of
Reference A that are appropriate for analyzing spectral data
by comparison with reference spectra.
4.10.2 Following the general recommendations of
Reference A, prepare a computer program or set of programs
that analyzes all of the analytes and known interferants,
based on the selected analytical regions (section 4.7 of
this addendum) and the prepared reference spectra (section
4.6 of this addendum). Specify the baseline correction
technique (e.g., determining the slope and intercept of a
linear baseline contribution in each analytical region) for
each analytical region, including all relevant wavenumber
positions.
4.10.3 Use programs that provide as output [at the
reference absorption pathlength (LR), reference gas
temperature (TR), and reference gas pressure (PR)] the
analyte concentrations, the known interferant
concentrations, and the baseline slope and intercept values.
If the sample absorption pathlength (LS), sample gas
temperature (TS), or sample gas pressure (PS) during the
actual sample analyses differ from LR, TR, and PR, use a
program or set of programs that applies multiplicative
corrections to the derived concentrations to account for
these variations, and that provides as output both the
corrected and uncorrected values. Include in the report of
the analysis (see section 7.0 of this addendum) the details
of any transformations applied to the original reference
spectra (e.g., differentiation), in such a fashion that all
analytical results may be verified by an independent agent
from the reference spectra and data spectra alone.
4.11 Determine the Fractional Calibration Uncertainty.
Calculate the fractional calibration uncertainty for each
analyte (FCUi) according to appendix F of this addendum, and
compare these values to the fractional uncertainty limits
(AUi; see section 4.1.2 of this addendum). If FCUi > AUi,
either the reference spectra or analytical programs for that
analyte are unsuitable.
4.12 Verify System Configuration Suitability. Using
appendix C of this addendum, measure or obtain estimates of
the noise level (RMSEST, absorbance) of the FTIR system.
Alternatively, construct the complete spectrometer system
and determine the values RMSSm using appendix G of this
addendum. Estimate the minimum measurement uncertainty for
each analyte (MAUi, ppm) and known interferant (MIUk, ppm)
using appendix D of this addendum. Verify that
(a) MAUi < (AUi)(DLi), FRUi < AUi, and FCUi < AUi for each
analyte and that (b) the CTS chosen meets the requirements
listed in sections 4.5.1 through 4.5.5 of this addendum.
5.0 SAMPLING AND ANALYSIS PROCEDURE
5.1 Analysis System Assembly and Leak-Test. Assemble
the analysis system. Allow sufficient time for all system
components to reach the desired temperature. Then,
determine the leak-rate (LR) and leak volume (VL), where VL =
LR tSS. Leak volumes shall be ≤4 percent of VSS.
5.2 Verify Instrumental Performance. Measure the
noise level of the system in each analytical region using
the procedure of appendix G of this addendum. If any noise
level is higher than that estimated for the system in
section 4.12 of this addendum, repeat the calculations of
appendix D of this addendum and verify that the requirements
of section 4.12 of this addendum are met; if they are not,
adjust or repair the instrument and repeat this section.
5.3 Determine the Sample Absorption Pathlength.
Record a background spectrum. Then, fill the absorption
cell with CTS at the pressure PR and record a set of CTS
spectra {R3}. Store the background and unscaled CTS single
beam interferograms and spectra. Using appendix H of this
addendum, calculate the sample absorption pathlength (LS)
for each analytical region. The values LS shall not differ
from the approximated sample pathlength LS' (see section 4.4
of this addendum) by more than 5 percent.
5.4 Record Sample Spectrum. Connect the sample line
to the source. Either evacuate the absorption cell to an
absolute pressure below 5 mmHg before extracting a sample
from the effluent stream into the absorption cell, or pump
at least ten cell volumes of sample through the cell before
obtaining a sample. Record the sample pressure PS.
Generate the absorbance spectrum of the sample. Store the
background and sample single beam interferograms, and
document the process by which the absorbance spectra are
generated from these data. (If necessary, apply the
spectral transformations developed in section 5.6.2 of this
addendum). The resulting sample spectrum is referred to
below as SS.
Note: Multiple sample spectra may be recorded
according to the procedures of section 5.4 of this
addendum before performing sections 5.5 and 5.6 of this
addendum.
5.5 Quantify Analyte Concentrations. Calculate the
unscaled analyte concentrations RUAi and unscaled
interferant concentrations RUIK using the programs developed
in section 4 of this addendum. To correct for pathlength
and pressure variations between the reference and sample
spectra, calculate the scaling factor, RLPS using equation
A.1,
RLPS = (LRPRTS)/(LSPSTR) (A.1)
Calculate the final analyte and interferant concentrations
RSAi and RSIk using equations A.2 and A.3,
RSAi = RLPSRUAi (A.2)
RSIk = RLPSRUIk (A.3)
5.6 Determine Fractional Analysis Uncertainty. Fill
the absorption cell with CTS at the pressure PS. Record a
set of CTS spectra {R4}. Store the background and CTS
single beam interferograms. Using appendix H of this
addendum, calculate the fractional analysis uncertainty
(FAU) for each analytical region. If the FAU indicated for
any analytical region is greater than the required accuracy
requirements determined in sections 4.1.1 through 4.1.4 of
this addendum, then comparisons to previously recorded
reference spectra are invalid in that analytical region, and
the analyst shall perform one or both of the procedures of
sections 5.6.1 through 5.6.2 of this addendum.
5.6.1 Perform instrumental checks and adjust the
instrument to restore its performance to acceptable levels.
If adjustments are made, repeat sections 5.3, 5.4 (except
for the recording of a sample spectrum), and 5.5 of this
addendum to demonstrate that acceptable uncertainties are
obtained in all analytical regions.
5.6.2 Apply appropriate mathematical transformations
(e.g., frequency shifting, zero-filling, apodization,
smoothing) to the spectra (or to the interferograms upon
which the spectra are based) generated during the
performance of the procedures of section 5.3 of this
addendum. Document these transformations and their
reproducibility. Do not apply multiplicative scaling of the
spectra, or any set of transformations that is
mathematically equivalent to multiplicative scaling.
Different transformations may be applied to different
analytical regions. Frequency shifts shall be less than
one-half the minimum instrumental linewidth, and must be
applied to all spectral data points in an analytical region.
The mathematical transformations may be retained for the
analysis if they are also applied to the appropriate
analytical regions of all sample spectra recorded, and if
all original sample spectra are digitally stored. Repeat
sections 5.3, 5.4 (except the recording of a sample
spectrum), and 5.5 of this addendum to demonstrate that
these transformations lead to acceptable calculated
concentration uncertainties in all analytical regions.
6.0 POST-ANALYSIS EVALUATIONS
Estimate the overall accuracy of the analyses performed
in accordance with sections 5.1 through 5.6 of this addendum
using the procedures of sections 6.1 through 6.3 of this
addendum.
6.1 Qualitatively Confirm the Assumed Matrix. Examine
each analytical region of the sample spectrum for spectral
evidence of unexpected or unidentified interferants. If
found, identify the interfering compounds (see Reference C
for guidance) and add them to the list of known
interferants. Repeat the procedures of section 4 of this
addendum to include the interferants in the uncertainty
calculations and analysis procedures. Verify that the MAU
and FCU values do not increase beyond acceptable levels for
the application requirements. Re-calculate the analyte
concentrations (section 5.5 of this addendum) in the
affected analytical regions.
6.2 Quantitatively Evaluate Fractional Model
Uncertainty (FMU). Perform the procedures of either section
6.2.1 or 6.2.2 of this addendum:
6.2.1 Using appendix I of this addendum, determine the
fractional model error (FMU) for each analyte.
6.2.2 Provide statistically determined uncertainties
FMU for each analyte which are equivalent to two standard
deviations at the 95 percent confidence level. Such
determinations, if employed, must be based on mathematical
examinations of the pertinent sample spectra (not the
reference spectra alone). Include in the report of the
analysis (see section 7.0 of this addendum) a complete
description of the determination of the concentration
uncertainties.
6.3 Estimate Overall Concentration Uncertainty (OCU).
Using appendix J of this addendum, determine the overall
concentration uncertainty (OCU) for each analyte. If the
OCU is larger than the required accuracy for any analyte,
repeat sections 4 and 6 of this addendum.
7.0 REPORTING REQUIREMENTS
[Documentation pertaining to virtually all the procedures of
sections 4, 5, and 6 will be required. Software copies of
reference spectra and sample spectra will be retained for
some minimum time following the actual testing.]
8.0 REFERENCES
A) Standard Practices for General Techniques of Infrared
Quantitative Analysis (American Society for Testing and
Materials, Designation E 168-88).
B) The Coblentz Society Specifications for Evaluation of
Research Quality Analytical Infrared Reference Spectra
(Class II); Anal. Chemistry 47, 945A (1975); Appl.
Spectroscopy 444, pp. 211-215, 1990.
C) Standard Practices for General Techniques for Qualitative
Infrared Analysis, American Society for Testing and
Materials, Designation E 1252-88.
D) "EPA Traceability Protocol for Assay and Certification of
Gaseous Calibration Standards," U.S. Environmental
Protection Agency Publication No. EPA/600/R-93/224, December 1993.
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